Cargando…
G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers
G2PDeep is an open-access web server, which provides a deep-learning framework for quantitative phenotype prediction and discovery of genomics markers. It uses zygosity or single nucleotide polymorphism (SNP) information from plants and animals as the input to predict quantitative phenotype of inter...
Autores principales: | Zeng, Shuai, Mao, Ziting, Ren, Yijie, Wang, Duolin, Xu, Dong, Joshi, Trupti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262736/ https://www.ncbi.nlm.nih.gov/pubmed/34037802 http://dx.doi.org/10.1093/nar/gkab407 |
Ejemplares similares
-
MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels
por: Jiang, Yuexu, et al.
Publicado: (2023) -
MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization
por: Wang, Duolin, et al.
Publicado: (2020) -
ACFIS: a web server for fragment-based drug discovery
por: Hao, Ge-Fei, et al.
Publicado: (2016) -
CausalMGM: an interactive web-based causal discovery tool
por: Ge, Xiaoyu, et al.
Publicado: (2020) -
The EMBL-EBI bioinformatics web and programmatic tools framework
por: Li, Weizhong, et al.
Publicado: (2015)